Keynote confirmed: Gustavo Betarte!
Enhancing cyber-threat intelligence with the support of automated learning and process mining techniques.
In this talk, we will present the main results of the WAFMind research project. The project aims to increase web application security by adapting machine learning and deep learning techniques and modeling the behavior of automated and human attackers using process mining techniques. We will describe an approach that combines machine learning classification with codified knowledge in a widely deployed WAF (Web Application Firewall) to prevent web application attacks. We are going to present the progress and results obtained during the development of the project.
Gustavo Betarte earned a BSc in Computer Engineering from Facultad de Ingeniería de la Universidad de la República, Uruguay (FING-Udelar), as well as an MSc and a Ph.D. in Computing Science from the University of Gothenburg, Sweden. He is a Full Professor in the Department of Computer Science (InCo) and is the principal researcher and head of the Computer Security team (GSI) at FING-Udelar. Dr. Betarte is a member of the Uruguayan Researchers National System (SNI, Level II). His research interests include formal methods, program verification, software and system security, and the foundations of computer science. Currently, he is working on applying knowledge discovery techniques for adaptive software security, the formal definition and verification of security properties of cryptocurrency protocols, and the design and implementation of security training platforms (Cyber Ranges). Since 2006, he has been the Technical Director of the Computer Security Consulting Team of Tilsor SA, a Uruguayan IT company.